Title |
Neuronų skaičiaus parinkimas vektorių kvantavimo metoduose |
Translation of Title |
Selection of number of neurons for vector quantization methods. |
Authors |
Kurasova, Olga ; Molytė, Alma |
DOI |
10.15388/LMR.2008.18121 |
Full Text |
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Is Part of |
Lietuvos matematikos rinkinys.. Vilnius : Vilniaus universiteto leidykla. 2008, t. 48/49, p. 354-359.. ISSN 0132-2818. eISSN 2335-898X |
Keywords [eng] |
vector quantization ; self-organizing map ; neural gas ; quantization error |
Abstract [eng] |
In this paper, a strategy of the selection of the neurons number for vector quantization methods has been investigated. Two methods based on neural networks have been analysed: self-organizingmap and neural gas. There is suggested a way under which the number of neurons is selected taken into account the particularity of the analysed data set. |
Published |
Vilnius : Vilniaus universiteto leidykla |
Type |
Conference paper |
Language |
Lithuanian |
Publication date |
2008 |
CC license |
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